The present disclosure relates to a triple-hop multiuser relay network. Further, the relay network is comprised of mixed communication mediums (radiofrequency/free-space optical/radiofrequency), and utilizes a generalized order user scheduling scheme for determining the next source or destination to be selected for transmission. Closed-form expressions were achieved to describe outage probability, average symbol error probability, and channel capacity assuming Rayleigh and Gamma-Gamma fading models for the radiofrequency and free-space optical links, respectively. The effects of pointing errors on the free-space optical link were also considered. Additionally, a power allocation algorithm was proposed to optimize power allocation at each hop.
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1. A system for wireless network communication, comprising:
a first plurality of wireless devices at a source configured to transmit or receive communication via radiofrequency;
a second plurality of wireless devices at a destination configured to transmit or receive communication via radiofrequency;
a first relay configured to communicate with a selected one of the first plurality of wireless devices at the source via radiofrequency and communicate with a second relay via free space optical communication, the second relay being configured to communicate with the first relay via free space optical communication and with a selected one of the second plurality of wireless devices at the destination via radiofrequency; and
processing circuitry configured to
select a wireless device at the source with the largest partially modeled source signal-to-noise ratio as the selected one of the first plurality of wireless devices,
select a wireless device at the destination with the largest partially modeled destination signal-to-noise ratio as the selected one of the second plurality of wireless devices, wherein
the partially modeled source signal-to-noise ratio is based on transmitted power, additive white Gaussian noise, and Rayleigh fading model-based channel coefficients, and
the partially modeled destination signal-to-noise ratio is based on transmitted power, additive white Gaussian noise, and Rayleigh fading model-based channel coefficients.
14. A method of wireless network communication, comprising:
selecting, by processing circuitry, one of a first plurality of wireless devices at a source, the selected one of the first plurality of wireless devices being a wireless device at the source with the largest partially modeled source signal-to-noise ratio;
transmitting, by the processing circuitry, a communication of the selected one of the first plurality of wireless devices to a first relay via radiofrequency;
receiving and decoding, by the processing circuitry, the transmitted radiofrequency communication from the selected one of the first plurality of wireless devices at the first relay;
forwarding, by the processing circuitry, the decoded communication from the first relay to a second relay via free space optical communication;
receiving and decoding, by the processing circuitry, the forwarded free space optical communication from the first relay at the second relay;
selecting, by the processing circuitry, one of a second plurality of wireless devices at a destination, the selected one of the second plurality of wireless devices being a wireless device at the destination with the largest partially modeled destination signal-to-noise ratio; and
transmitting, by the processing circuitry, the decoded communication from the second relay to the selected one of the second plurality of wireless devices at the destination via radiofrequency, wherein
the partially modeled source signal-to-noise ratio is based on transmitted power, additive white Gaussian noise, and Rayleigh fading model-based channel coefficients, and
the partially modeled destination signal-to-noise ratio is based on transmitted power, additive white Gaussian noise, and Rayleigh fading model-based channel coefficients.
2. The system for wireless network communication of
3. The system for wireless network communication of
4. The system for wireless network communication of
5. The system for wireless network communication of
6. The system for wireless network communication of
7. The system for wireless network communication of
8. The system according to
9. The system according to
calculate a partially modeled signal-to-noise ratio for the free space optical communication, the calculated partially modeled signal-to-noise ratio being determined in accordance with a Gamma-Gamma fading model.
10. The system according to
11. The system according to
where ds,r
12. The system according to
where N1 is an order of the selected one of the first plurality of wireless devices, K1 is at total number of the first plurality of wireless devices at the source, k is a number of a user, and γ is a partially modeled signal-to-noise ratio.
13. The system according to
15. The method of wireless network communication of
16. The method of wireless network communication of
17. The method of wireless network communication of
18. The method of wireless network communication of
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The present application claims priority to U.S. Provisional Application No. 62/578,090, filed Oct. 27, 2017, the teaching of which is hereby incorporated by reference in its entirety for all purposes.
Aspects of this technology are described in an article “A new scenario of triple-hop mixed RF/FSO/RF relay network with generalized order user scheduling and power allocation” published in EURASIP Journal on Wireless Communications and Networking, on Oct. 28, 2016, which is incorporated herein by reference in its entirety.
The present disclosure relates to a multi-hop relay network with generalized order user scheduling and transmission power allocation.
Cooperative relay networks present an efficient solution for multipath fading issues in wireless communications. In these relay networks, a relay node or a set of relay nodes facilitate propagation of a message from one or more source nodes to one or more destination nodes, thereby providing diversity, widening coverage area, and reducing the need for high power transmitters. Pursuant to network architecture and desired functionality, each node may employ either an amplify-and-forward (AF) or decode-and-forward (DF) scheme. The simplicity of AF schemes is often weighed against the computationally demanding, but improved output, of DF schemes.
Recent efforts to reduce power consumption, expand coverage and improve reliability of wireless communications have employed a mixture of data transmission modalities. By employing relays and varied transmission modalities, networks are able to increase communication distance and improve network diversity. To this end, several approaches have been explored, including single-relay free space optical (FSO) communications and dual-hop mixed radiofrequency (RF) and FSO relay networks. Further, by considering multiple users a network aims to achieve multiuser diversity.
While recent work has considered triple-hop relaying for only one type of transmission modality, broad advances have focused on dual-hop mixed RF/FSO relay networks, representative of applications where multiple users communicate with a relay node via RF links and the relay forwards their messages to a base station over an FSO link.
Therefore, one objective of the present disclosure is to provide and evaluate a model of triple-hop mixed-mode relaying in wireless networks.
The foregoing “Background” description is for the purpose of generally presenting the context of the disclosure. Work of the inventors, to the extent it is described in this background section, as well as aspects of the description which may not otherwise qualify as prior art at the time of tiling, are neither expressly or impliedly admitted as prior art against the present invention.
The present disclosure relates to a triple-hop mixed RF/FSO/RF relay network with generalized order user scheduling and transmission power allocation.
The triple-hop mixed RF/FSO/RF relay network includes K1 sources, two DF relays, and K2 destinations. The sources and destinations are connected to respective relay nodes via RF links, while the relay nodes are connected via FSO link.
The generalized order user scheduling scheme selects the source with the N1th best signal-to-noise ratio (SNR) among the available sources to communicate with the first relay node. Similarly, following transmission via FSO from the first relay node to the second relay node, the destination with the N2th best SNR is selected to receive its message from the second relay.
Further, optimum transmission powers of the selected user are obtained on the first hop, first relay, and second relay.
The foregoing paragraphs have been provided by way of general introduction, and are not intended to limit the scope of the following claims. The described embodiments, together with further advantages, will be best understood by reference to the following detailed description taken in conjunction with the accompanying drawings.
A more complete appreciation of the disclosure and many of the attendant advantages thereof will be readily obtained as the same becomes better understood by reference to the following detailed description when considered in connection with the accompanying drawings, wherein:
The terms “a” or “an”, as used herein, are defined as one or more than one. The term “plurality”, as used herein, is defined as two or more than two. The term “another”, as used herein, is defined as at least a second or more. The terms “including” and/or “having”, as used herein, are defined as comprising (i.e., open language). Reference throughout this document to “one embodiment”, “certain embodiments”, “an embodiment”, “an implementation”, “an example” or similar terms means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, the appearances of such phrases or in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments without limitation.
Recently, incorporation of free-space optical communication in relay networks has been proposed to provide improved reliability in the ‘last-mile’ of wireless communications. These networks, often known as dual-hop relay networks, transmit a source message from a source to a relay node over a RF link (licensed frequencies) and then forward the message to the destination over an FSO link (license-free). In such networks, relays provide greater diversity among nodes, expand the coverage area, and reduce the need for high-power transmitters. Further, this approach can be complemented via multiuser cooperation and opportunistic scheduling.
Extensive work has been dedicated to the above, filling the connectivity gap in ‘last-mile’ connectivity while conserving economic resources and saving bandwidth by exploiting optical communications. To this point, however, FSO communications have been incorporated into dual-hop networks with the FSO link connecting directly to a base station at a terminus. Therefore, a triple-hop mixed relay network with generalized user scheduling and power allocation algorithm, yet to be developed, is described in the present disclosure.
Communication is operated in a half-duplex mode and to be conducted over three phases outlined above and repeated here: selected user Uset→R1, R1→R2, and R2→Dset. The received signal at R1 105 from the kth user can be expressed as
yk,r
where Pk is the transmit power of the kth user, hk,r
According to the generalized order user scheduling, the source with the N1th best γU
yr
where POpt denotes the average transmitted optical power and it is related to the relay electrical power Pr by the electrical-to-optical conversion efficiency η1 as POpt=η1 Pr
γr
where nr
where q is the aperture radius, ϕ is the divergence angle of the beam, dFSO is the distance between the FSO transmitter and receiver, κ is the weather-dependent attenuation coefficient, and GGamma(α, β) represents a Gamma-Gamma random variable with parameters α and β (see article by Zhang, W et al, “Soft-switching hybrid FSO/RF links using short-length raptor codes: design and implementation” published in IEEE Journal on Selected Areas in Communications, in 2009, and incorporated herein by reference). Assuming spherical wave propagation, the parameters α and β in the Gamma-Gamma distribution, which represent the fading turbulence conditions, are related to the physical parameters as follows:
where ϑ2=0.5 Cn2ζ7/6(dFSO)11/6, ξ2=ζq2/dFSO, ζ=2π/λFSO is the wavelength, and Cn2 is the weather-dependent index of refraction structure parameter (see article by He, B et al, “Bit-interleaved coded modulation for hybrid RF/FSO systems” published in IEEE Transactions on Communications, in 2009, and incorporated herein by reference).
When the DC component is filtered out at R2 115 and an optical-to-electrical conversion is performed, assuming M=1, the received signal can be expressed as follows:
γr
where PEle=η2POpt=η1η2Pr
From (8), the SNR at R2 115 can be written as
and Pr
The signal received at Dj 114 from R2 115 in the third phase of communication 119 can be written as
γr
where Pr
According to generalized order user scheduling, the destination 120 with the N2th best γR
The channel coefficients of the RF links 117, 119 hk,r
respectively. Regarding the second hop, it is assumed that the FSO link 118 experiences a unified Gamma-Gamma fading model including the pointing errors effect whose SNR PDF (see article by Ansari, I S et al, “Impact of point errors on the performance of mixed RF/FSO dual-hop transmission systems” published in IEEE Wireless Communications Letters, in 2013, and incorporated herein by reference), is given by
ζ is the ratio between the equivalent beam radius at the receiver and the pointing error displacement standard deviation (jitter) at the receiver (i.e. when ζ→∞, non-pointing error). r is the parameter defining the type of detection technique (i.e. r=1 represents heterodyne detection and r=2 represents intensity modulation (IM)/direct detection (DD)). α and β are the fading parameters related to the atmospheric turbulence conditions with lower values indicating severe atmospheric turbulence conditions. Γ(.) is the Gamma function,
and G(.) is the Meijer G-function (see textbook by Gradshteyn, I S and Ryzhik, I M, “Tables of Integrals, Series and Products”, published by Academic Press, in 2000, and incorporated herein by reference).
The end-to-end (e2e) SNR at the selected destination can be written using the standard approximation γD min(γR
In an exemplary embodiment, as seen in
To evaluate system performance, the statistics of the e2e SNR provided in (14) must be determined.
To this end, the outage probability is defined as the probability that the SNR at a selected destination drops below a predetermined outage threshold γout, or Pout=Pr[γd≤γout], where Pr[.] is the probability operation and γout is a predetermined outage threshold. The outage probability can be obtained from the cumulative distribution function (CDF) of the e2e SNR as Pout=FγD(γout). This CDF can be written in terms of CDFs of the three hops' SNRS as
are the CDFs of the first hop, second hop, and third hop SNRs, respectively.
The CDF of the first hop begins from the PDF according to generalized order user selection, wherein the PDF represents the N1th best SNR or, the source of the N1th best SNR as selected by the first relay. The CDF is rewritten as
where the users on the third hop have been assumed to have independent identical distributed channels.
The CDF of the second hop is determined from the PDF of the FSO link incorporating the Gamma-Gamma fading model and including point errors. The CDF is rewritten as
comprises of r terms and
comprises of 3r terms.
Similar to the first hop, the CDF of the third hop begins from the PDF according to generalized order user selection, wherein the PDF represents the N2th best SNR or, the destination of the N2th best SNR as selected by the second relay. The CDF is rewritten as
where the users on the third hop have been assumed to have independent identical distributed channels.
Following the substitution of the CDFs from each hop ((19), (20), (22)) into (15), the full e2e CDF can be written as
The CDF in (23) is used to determine several performance measures as closed-form expressions.
To determine the exact average symbol error probability (ASEP), the ASEP is expressed in terms of the CDF of γD as
where a and b are modulation-specific parameters (see article by McKay, M R et al, “Performance analysis of MIMO-MRC in double-correlated Rayleigh environments”, published in IEEE Transactions on Communications, in 2007, incorporated herein by reference). A SIM scheme is adopted, allowing known digital modulation techniques such as phase shift keying to be used. Therefore, the error probability computing method, used for RF wireless communication systems, can be used to evaluate the error probability performance in FSO systems. Upon combination of equations, ASEP can be written as
Because the coherence time of the FSO fading channel is in the order of milliseconds, a single fade can obliterate millions of bits at gigabits/second data rates. Therefore, the exact average (i.e., ergodic) channel capacity represents the best achievable capacity of an optical wireless link. Using a PDF-based method, the ergodic capacity can be expressed in terms of the PDF of γD as
Following multiple derivations and integrations described in detail in the cited references, the exact ergodic capacity can be written as
where Ei(.) is an exponential integral function, and G[Z1, Z2|.|.|.] is the extended generalized bivariate Meijer G-function.
Due to the complexity of the above expressions, approximations of these expressions are required to appropriately evaluate the impact of changes in performance parameters and gain system insight. Detailed derivation of the approximate solutions can be found in the cited references.
The asymptotic outage probability can be written at the high SNR regime as Pout(GcSNR)−G
Consider the case of identical sources' channels (λ1,r
Regarding the first hop link, using a Taylor series representation of the exponential term in the CDF to simplify and integrate, the CDF is written as
Regarding the second hop link, the CDF is written as
where γ is constant and is written as
The third hop link, similar to the first hop link, is simplified as
To obtain the diversity order and coding gain of the system, the CDF of (16) can be simplified, at high SNR values, to be
FγD(γ)≅FγU
Substituting values into (46), the approximate outage probability, at high SNR values, can be written as
From (47), it is observed that the performance of the considered relay network will be dominated by the worst link among the available three links (first RF link, FSO link, second RF link). This domination depends on the parameters of these links. Therefore, the diversity order of the triple-hop mixed RF/FSO/RF relay network with generalized order user scheduling is equal to min(K1−N1+1, ν/r, K2−N2+1). Based on the value of the diversity order, one of the following three cases represents the overall system performance.
Case 1 One hop is dominant, and the coding gain is written as
Case 2 Two hops are dominant, and the coding gain is written as
Case 3 Three hops have the same diversity order, and so the coding gain is written as
System performance, dominated by the weakest link, can be described as: (1) the first hop link (i.e., K1 and N1), (2) the second hop link (i.e., ζ2, α, β), and (3) the third hop link (i.e., K2 and N2). If the diversity orders of two hops are equal and are the minimum, the coding gain of the system equals the average of the coding gains across these two hops. Similarly, if the diversity orders of all three hops are equal, the coding gain of the system equals an average of the coding gains across the three hops.
The above approximate solutions are further used to determine the optimum adaptive power allocation for the transmitting nodes in the system.
The distance between the first hop K1 sources and relay R1 is defined as ds,r
μ is the path loss exponent and is equal for all hops to a value greater than 1, and N0 is AWGN power (assumed equal for all hops). Similarly, average value of SNR in the second hop can be expressed as
The average value of SNR in the third hop, between the relay R2 and destinations K2, is expressed as
The power constraint in this system can, therefore, be written as Ptot=Ps,r
The optimal power allocation, minimizing outage probability as a function of the power constraint, is expressed as
The asymptotic expression for FγD(γout) can be rewritten as
Using a Lagrangian multipliers method, differentiating, and simplifying to solve for Ps,r
The accuracy of analytical and asymptotic solutions can be validated via comparison to Monte Carlo simulations.
Further, the claimed advancements may be provided as a utility application, background daemon, or component of an operating system, or combination thereof, executing in conjunction with CPU 1200 and an operating system such as Microsoft Windows, UNIX, Solaris, LINUX, Apple MAC-OS and other systems known to those skilled in the art.
The hardware elements in order to achieve the system for wireless network communication may be realized by various circuitry elements, known to those skilled in the art. For example, CPU 1200 may be a Xenon or Core processor from Intel of America or an Opteron processor from AMD of America, or may be other processor types that would be recognized by one of ordinary skill in the art. Alternatively, the CPU 1200 may be implemented on an FPGA, ASIC, PLD or using discrete logic circuits, as one of ordinary skill in the art would recognize. Further, CPU 1200 may be implemented as multiple processors cooperatively working in parallel to perform the instructions of the inventive processes described above.
The system for wireless network communication in
The system for wireless network communication further includes a display controller 1208, such as a NVIDIA GeForce GTX or Quadro graphics adaptor from NVIDIA Corporation of America for interfacing with display 1210, such as a Hewlett Packard HPL2445w LCD monitor. A general purpose I/O interface 1212 interfaces with a keyboard and/or mouse 1214 as well as a touch screen panel 1216 on or separate from display 1210. General purpose I/O interface also connects to a variety of peripherals 1218 including printers and scanners, such as an OfficeJet or DeskJet from Hewlett Packard.
A sound controller 1220 is also provided in the system for wireless network communication, such as Sound Blaster X-Fi Titanium from Creative, to interface with speakers/microphone 1222 thereby providing sounds and/or music.
The general purpose storage controller 1224 connects the storage medium disk 1204 with communication bus 1226, which may be an ISA, EISA, VESA, PCI, or similar, for interconnecting all of the components of the system for wireless network communication. A description of the general features and functionality of the display 1210, keyboard and/or mouse 1214, as well as the display controller 1208, storage controller 1224, network controller 1206, sound controller 1220, and general purpose I/O interface 1212 is omitted herein for brevity as these features are known.
The exemplary circuit elements described in the context of the present disclosure may be replaced with other elements and structured differently than the examples provided herein. Moreover, circuitry configured to perform features described herein may be implemented in multiple circuit units (e.g., chips), or the features may be combined in circuitry on a single chipset.
Moreover, the present disclosure is not limited to the specific circuit elements described herein, nor is the present disclosure limited to the specific sizing and classification of these elements. For example, the skilled artisan will appreciate that the circuitry described herein may be adapted based on changes on battery sizing and chemistry, or based on the requirements of the intended back-up load to be powered.
The functions and features described herein may also be executed by various distributed components of a system. For example, one or more processors may execute these system functions, wherein the processors are distributed across multiple components communicating in a network. The distributed components may include one or more client and server machines, which may share processing, in addition to various human interface and communication devices (e.g., display monitors, smart phones, tablets, personal digital assistants (PDAs)). The network may be a private network, such as a LAN or WAN, or may be a public network, such as the Internet. Input to the system may be received via direct user input and received remotely either in real-time or as a batch process. Additionally, some implementations may be performed on modules or hardware not identical to those described. Accordingly, other implementations are within the scope that may be claimed.
The above-described hardware description is a non-limiting example of corresponding structure for performing the functionality described herein.
It is notable that for each situation evaluated heretofore, analytical and asymptotic expressions are in match with simulation results.
Obviously, numerous modifications and variations are possible in light of the above teachings. It is therefore to be understood that within the scope of the appended claims, the invention may be practiced otherwise than as specifically described herein.
Thus, the foregoing discussion discloses and describes merely exemplary embodiments of the present invention. As will be understood by those skilled in the art, the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. Accordingly, the disclosure of the present invention is intended to be illustrative, but not limiting of the scope of the invention, as well as other claims. The disclosure, including any readily discernible variants of the teachings herein, defines, in part, the scope of the foregoing claim terminology such that no inventive subject matter is dedicated to the public.
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